In this section, we first revisit the existing person search framework, and briefly discuss their limitations, especially w.r.t. the insufficient use of person search data. We then introduce the proposed unified global-local context network (GLCNet), which makes full use of the context information in two levels: scene-level and group-level. Finally, these two levels of contexts are fed into the loss function [1]} to help improve the identity feature.
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